Implementation of Cryptanalytic Program for ASCON Using ChatGPT

Large language models (LLMs) have demonstrated remarkable capabilities in generating sentences, images, and program codes, driven by their development from extensive datasets. With over one hundred million users worldwide, Chat-GPT stands out as a leader among LLMs. Previous studies have shown its proficiency in generating program source codes for the symmetric-key ciphers AES, CHAM. This study ventures into the implementation of cryptanalytic program source codes for a lightweight authenticated encryption ASCON using ChatGPT, exploring its potential and limitations in the field of cryptography.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/candarw64572.2024.00057
Citations
2
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.24
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article

Implementation of Cryptanalytic Program for ASCON Using ChatGPT

Nobuyuki Sugio
2 citations
Artificial Intelligence in Healthcare and Education
0.24
article

Implementation of Cryptanalytic Program for ASCON Using ChatGPT

Nobuyuki Sugio
article en
2 citations

Abstract

Large language models (LLMs) have demonstrated remarkable capabilities in generating sentences, images, and program codes, driven by their development from extensive datasets. With over one hundred million users worldwide, Chat-GPT stands out as a leader among LLMs. Previous studies have shown its proficiency in generating program source codes for the symmetric-key ciphers AES, CHAM. This study ventures into the implementation of cryptanalytic program source codes for a lightweight authenticated encryption ASCON using ChatGPT, exploring its potential and limitations in the field of cryptography.

Hokkaido University of Science (JP)
Openalex Percentile: Top 38%
Artificial Intelligence in Healthcare and Education
0.24
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